def from_dict(d, t=None):
''' Convert the dictionary to a crystal model
Params:
d The dictionary of parameters
t The template dictionary to use
Returns:
The crystal model
'''
# If None, return None
if d == None:
if t == None: return None
else: return from_dict(t, None)
elif t != None:
d = dict(t.items() + d.items())
# Create the model from the dictionary
if 'ML_half_mosaicity_deg' in d:
assert 'ML_domain_size_ang' in d
if d['ML_half_mosaicity_deg'] is None or d['ML_domain_size_ang'] is None:
assert d['ML_half_mosaicity_deg'] is None and d['ML_domain_size_ang'] is None
else:
if 'mosaicity' in d and d['mosaicity'] > 0:
print "Warning, two kinds of mosaicity found. Using Sauter2014 model"
from dxtbx.model import MosaicCrystalSauter2014
return MosaicCrystalSauter2014.from_dict(d)
if 'mosaicity' in d:
from dxtbx.model import MosaicCrystalKabsch2010
return MosaicCrystalKabsch2010.from_dict(d)
else:
from dxtbx.model import Crystal
return Crystal.from_dict(d)
def from_dict(d, t=None):
"""Convert the dictionary to a crystal model
Params:
d The dictionary of parameters
t The template dictionary to use
Returns:
The crystal model
"""
if d is None and t is None:
return None
joint = t.copy() if t else {}
joint.update(d)
# Create the model from the dictionary
if "ML_half_mosaicity_deg" in joint:
assert "ML_domain_size_ang" in joint
if (joint["ML_half_mosaicity_deg"] is None
or joint["ML_domain_size_ang"] is None):
assert (joint["ML_half_mosaicity_deg"] is None
and joint["ML_domain_size_ang"] is None)
else:
if joint.get("mosaicity", 0) > 0:
print(
"Warning, two kinds of mosaicity found. Using Sauter2014 model"
)
from dxtbx.model import MosaicCrystalSauter2014
return MosaicCrystalSauter2014.from_dict(joint)
if "mosaicity" in joint:
from dxtbx.model import MosaicCrystalKabsch2010
return MosaicCrystalKabsch2010.from_dict(joint)
else:
from dxtbx.model import Crystal
return Crystal.from_dict(joint)